Directed Equilibrium Propagation Revisited by Pedro Costa, Pedro A. Santos

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R-CKGAT: a recommendation algorithm based on scientific fitness knowledge graph by Zhitong Liu, Shutong Du, Shouxin Zong, Bingyu Pan

“…Abstract In recent years, with the spread and popularization of health knowledge, more and more people have begun to participate in fitness exercises to strengthen their bodies and prevent diseases. However, due to the lack of fitness knowledge base and the imperfection of fitness recommendation algorithm, fitness enthusiasts cannot obtain accurate fitness knowledge. …”
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Factors Influencing Misinformation Propagation: A Systemic Review by HAN Xi, LIAO Ke

“…Future studies should focus on misinformation propagation in other scenarios, explore more information characteristics suitable for algorithmic intervention, examine the differences in misinformation propagation on different platforms, and use mixed research methods to reach more credible conclusions. …”
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BP Neural Network Fuse with Morphology Edge Detection Method by YUE Xin-hua, DENG Cai-xia, ZHANG Zhao-ru

“…In order to obtain better image edge information, an edge detection algorithm combining BP (Back Propagation) neural network and morphology is proposed. …”
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A Machine Learning Approach to Wireless Propagation Modeling in Industrial Environment by Mohammad Hossein Zadeh, Marina Barbiroli, Franco Fuschini

“…Unfortunately, they usually lack in flexibility, since they seldom include geometrical parameters describing the industrial scenario and therefore turn out reliable only in industrial scenarios sharing the same propagation characteristics as those where the measurements were performed. …”
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Selection of Sound Insulating Elements in Hydraulic Excavators Based Onidentification of Vibroacoustic Energy Propagation Paths by Zbigniew DĄBROWSKI, Jacek DZIURDŹ, Radosław PAKOWSKI

“…Temporary operations performed during surveys and periodical overhauls are rarely effective, due to the lack of any guidelines. In this situation the authors propose the algorithm for selection of eventual screens or sound absorbing and sound insulating partitions, utilizing the measuring procedure aimed at identification, at the operator’s stand, of main noise components originated from various sources. …”
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Optimizing adaptive modulation technique using standard propagation model for enhanced wireless communication channels by Rahim Khan, Zahid Ullah Khan, Sher Taj, Sajid Ullah Khan, Javed Khan, Nazik Alturki, Sultan Alanazi

“…To ensure optimal configuration, an advanced optimization algorithm is employed to dynamically select the most effective SPM parameters, enabling robust performance across varying channel conditions. …”
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Improved Control Mechanism of Bottleneck Bandwidth and Round-Trip Propagation Time v3 Congestion with Enhanced Fairness and Efficiency by Hung-Chi Chu, Hao-Chu Chiang

“…In 2016, Google proposed the Bottleneck Bandwidth and Round-trip propagation time (BBR) algorithm to mitigate network congestion. …”
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Research on the Stability of Express Delivery Supply Chain Based on Risk Propagation Model ------ Case Studies of SF Express and JD Logistics by Fan Yunhui

“…However, traditional research has largely been confined to qualitative descriptions of risks, lacking systematic quantitative analysis of risk propagation mechanisms. …”
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An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response by Chaowei Wang, Menglong Li, Juyi Qiao, Weidong Wang, Xiuhua Li

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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…Current methods for analysis lack sufficient accuracy and efficiency in calculations. …”
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Exploring non-zero position constraints: algorithm-hardware co-designed DNN sparse training method by WANG Miao, ZHANG Shengbing, ZHANG Meng

“…And based on these rules, this paper proposed a parev hardware-friendly sparse training algorithm to reduce the computation and storage pressure of the three phases, and an energy-efficient sparse training accelerator that can be executed in parallel with the forward propagation computation to estimate the non-zero positions so that the runtime processing cost is masked. …”
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Design of Intelligent Firefighting and Smart Escape Route Planning System Based on Improved Ant Colony Algorithm by Nan Li, Zhuoyong Shi, Jiahui Jin, Jiahao Feng, Anli Zhang, Meng Xie, Liang Min, Yunfang Zhao, Yuming Lei

“…Capitalizing on the acquired fire situational awareness, a propagation model for fire spreading is developed. An enhanced ant colony algorithm is then deployed to calculate and plan escape routes by introducing a fire spread model to enhance the accuracy of escape route planning and incorporating the A* algorithm to improve the convergence speed of the ant colony algorithm. …”
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Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization by Wenchao Du, Jianhui Wang, Ruidong Wang, Xingning Jia, Guoche Qin, Chunshu Li

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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Initially, there was inadequate study of the various prediction techniques to select the ones that would best predict students’ success in educational environments. The second is the lack of investigation into the courses. In this research work, efforts have been made to identify low-performing students through the proposed Back Propagation Neural Network for Student Performance Analysis (BPNN-SPA) model, which generates more accurate, efficient, and dependable results as compared to some of the existing techniques and models. …”
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Optimizing CNC turning of AISI D3 tool steel using Al₂O₃/graphene nanofluid and machine learning algorithms by Leta Daba Gemechu, Dame Alemayehu Efa, Robsan Abebe

“…The Response Surface Methodology (RSM), Back Propagation (BP) neural networks, and Genetic Algorithms (GA) will be utilized to model and predict optimal turning parameters to enhance surface quality and manage tool tip temperature. …”
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Enhancing prediction of crop yield and soil health assessment for sustainable agriculture using machine learning approach by Kapil Netaji Vhatkar, Shweta Ashish Koparde, Sonali Kothari, Jayesh Sarwade, Kishor Sakur

“…The goal of this research is • to make sophisticated models for precise crop production forecasting and thorough evaluation of soil health, • to improve sustainability by optimize farming methods, and • to assist farmers in making well-informed decisions.Iterative Partitioning-Ensemble Filter (IP-EF) is a technique used for feature selection, enhancing model performance by iteratively partitioning data and refining feature subsets. Back-propagation Neural Network (BPNN) is an SL algorithm applied for predicting complex patterns, especially in crop yield and soil health assessments. …”
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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

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Design of Low-Complexity Hybrid Precoder and Inkjet-Printed Antenna Array for Massive MIMO Downlink Systems by Subitha D, Mathana J M

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Cooperative localization considering estimated location uncertainty in distributed ad hoc networks by YoungJoon Kim, Byeongho Lee, Hyoungmin So, Dong-Hwan Hwang, Seong-Cheol Kim

“…This is partly due to the lack of information and partly because of error propagation. …”
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